Article ID: | iaor19972278 |
Country: | United Kingdom |
Volume: | 31 |
Issue: | 8 |
Start Page Number: | 95 |
End Page Number: | 106 |
Publication Date: | Apr 1996 |
Journal: | Computers & Mathematics with Applications |
Authors: | Wang Dingwei, Fang S.-C. |
Keywords: | artificial intelligence |
To closely describe the earliness/tardiness production planning problems in the JIT environment, a nonlinear semi-infinite programming model is proposed. Due to the issues of non-convexivity and having infinitely many constraints, instead of applying traditional optimization approaches, a specially designed genetic algorithm with mutation along the negative gradient direction is developed. The proposed algorithm is a combination of the steepest descent method with the stochastic sampling algorithm. Some numerical results are included to show its potential for industrial applications.